Adversarial training reduces safety of neural networks in robots: Research

There’s a growing interest in employing autonomous mobile robots in open work environments such as warehouses, especially with the constraints posed by the global pandemic. And thanks to advances in deep learning algorithms and sensor technology, industrial robots are becoming more versatile and less costly.

But safety and security remain two major concerns in robotics.

… But adversarial training can have a significantly negative impact on the safety of robots, the researchers at IST Austria, MIT, and TU Wien discuss in a paper titled “Adversarial Training is Not Ready for Robot Learning.” Their paper, which has been accepted at the International Conference on Robotics and Automation (ICRA 2021), shows that the field needs new ways to improve adversarial robustness in deep neural networks used in robotics without reducing their accuracy and safety. Read More

#adversarial, #robotics

The hidden fingerprint inside your photos

They say a picture is worth a thousand words. Actually, there’s a great deal more hidden inside the modern digital image, says researcher Jerone Andrews.

… When you take a photo, your smartphone or digital camera stores “metadata” within the image file. This automatically and parasitically burrows itself into every photo you take. It is data about data, providing identifying information such as when and where an image was captured, and what type of camera was used.

…But metadata is not the only thing hidden in your photos. There is also a unique personal identifier linking every image you capture to the specific camera used. Read More

#fake, #image-recognition

New AWS tool uses machine learning to watch your services and data for anomalies

AWS has made available Amazon Lookout for Metrics, a service that uses machine learning (ML) to automatically monitor various metrics across business and operational data, detect anomalies and alert the user so they can take appropriate action.

According to AWS, Lookout for Metrics is based on technology used by Amazon itself in business operations, and so reflects 20 years of the firm’s experience in anomaly detection and machine learning. It was built to allow developers to set up autonomous monitoring of important metrics to detect anomalies and identify their root cause in a matter of few clicks. This, AWS claimed, would make it easier to diagnose the root cause of anomalies such as unexpected dips in revenue, high rates of abandoned shopping carts, spikes in payment transaction failures, or increases in new user sign-ups. Read More

#devops

YouTuber Creates Roadside AI-Powered Camera To Compliment Dogs That Pass By

Every dog is the best dog. It doesn’t matter whose dog they are, what breed, or how well-behaved they are, they are all good dogs. But do you ever wish that you could tell the dogs how amazing they are, constantly?

Fear not, as YouTuber Ryder Calm Down has the answer. Using a megaphone, a camera, and a smart integrated machine-learning system, the nifty technology and comedy commentator created a device that recognizes dogs as they walk down the street and shouts compliments to them. After all, they deserve it.  Read More

#image-recognition

This AI Can Generate Convincing Text—and Anyone Can Use It

Some of the most dazzling recent advances in artificial intelligence have come thanks to resources only available at big tech companies, where thousands of powerful computers and terabytes of data can be as copious as free granola bars and nap pods.

A new project aims to show this needn’t be the case, by cobbling together the code, data, and computer power needed to reproduce one of the most epic—and potentially useful—AI algorithms developed in recent years.

Eleuther is an open source effort to match GPT-3, a powerful language algorithm released in 2020 by the company OpenAI that is sometimes capable of writing strikingly coherent articles in English when given a text prompt.

Eleuther is still some way from matching the full capabilities of GPT-3, but last week the researchers released a new version of their model, called GPT-Neo, which is about as powerful as the least sophisticated version of GPT-3. Read More

#nlp